I am looking to join as a partner and actively contribute to any proposal on the SPiDDS related topics.

I lead SAYED Systems Research Group (https://sayed-sys-lab.github.io) where we perform systems-focused research by exploring existing problems of mainstream Networked and Distributed Systems to find solutions by designing and prototyping scalable adaptive yet efficient systems of the future. We are also part of the networks group (http://networks.eecs.qmul.ac.uk) at the School of Electronic Engineering and Computer Science (EECS), Queen Mary University of London (QMUL), UK.

I have developed my research career in academia and industry with experiences and skills in distributed systems, machine learning, and networks. A large body of my work focus on designing and deploying new ideas for optimizing the performance of distributed systems with a special interest in networking components.  design and develop scalable and efficient system support for future AI/ML ecosystems. I leverage my track research record to have a thorough understanding of the main challenges that the current MLsystems face and practical solutions that tackle them while addressing the limitations in existing systems.

I have over 40 publications on these topics appearing in top-tier conferences and workshops like MLSys, NeurIPS, AAAI, IEEE (INFOCOM, ICDCS, ICC, LCN), ACM (EuroSys, EuroMLSys, DistributedML) and top-tier journals like ACM/IEEE Transactions on Networking (ToN), and Elsevier Computer Networks (https://scholar.google.com/citations?hl=en&user=CzfuSJgAAAAJ&view_op=list_works&sortby=pubdate)

I am also part of several UK-based and International research projects. For instance, a project of relevance to SPiDDS topics is about leveraging Federated Learning for Decentralized Moderation (https://www.rephrain.ac.uk/dsnmod/).